I think this just refers to computing an average or weighted average over several algorithms, and using that for the basis of recommendation. It's not supported directly, but fairly easy to roll yourself.
Beware that this only makes sense if the values you are averaging are of the same scale. The conventional algorithms are based on an estimate of rating for unknown items, so it makes sense to average those estimates. But recommenders don't have to rank on this, and if they're ranking on some other value it may not be valid to average those. On Mon, Jun 6, 2011 at 9:27 PM, jeff thomas <[email protected]> wrote: > Can anyone please provide details on how to stack algorithms? > > From: > http://lucene.472066.n3.nabble.com/A-few-questions-regarding-content-based-recommenders-td2168516.html > > > "Production recommendation systems use several algorythms and combine > them with weights. This is called 'stacking'. You might wish to write > a stacking version of Recommender. " >
